Package: RiemBase 0.2.6

Kisung You

RiemBase: Functions and C++ Header Files for Computation on Manifolds

We provide a number of algorithms to estimate fundamental statistics including Fréchet mean and geometric median for manifold-valued data. Also, C++ header files are contained that implement elementary operations on manifolds such as Sphere, Grassmann, and others. See Bhattacharya and Bhattacharya (2012) <doi:10.1017/CBO9781139094764> if you are interested in statistics on manifolds, and Absil et al (2007, ISBN:9780691132983) on computational aspects of optimization on matrix manifolds.

Authors:Kisung You [aut, cre]

RiemBase_0.2.6.tar.gz
RiemBase_0.2.6.zip(r-4.7-x86_64)RiemBase_0.2.6.zip(r-4.7-arm64)RiemBase_0.2.6.zip(r-4.6-x86_64)RiemBase_0.2.6.zip(r-4.6-arm64)
RiemBase_0.2.6.tar.gz(r-4.7-arm64)RiemBase_0.2.6.tar.gz(r-4.7-x86_64)RiemBase_0.2.6.tar.gz(r-4.6-arm64)RiemBase_0.2.6.tar.gz(r-4.6-x86_64)
RiemBase_0.2.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RiemBase/json (API)

# Install 'RiemBase' in R:
install.packages('RiemBase', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kisungyou/riembase/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

1.70 score 268 downloads 7 exports 5 dependencies

Last updated from:f168689793. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK94
linux-devel-x86_64OK248
source / vignettesOK187
linux-release-arm64OK90
linux-release-x86_64OK110
windows-devel-arm64OK222
windows-devel-x86_64OK145
windows-release-arm64OK194
windows-release-x86_64OK113
wasm-releaseOK1373

Exports:rbase.curvedistrbase.meanrbase.medianrbase.pdistrbase.pdist2rbase.robustriemfactory

Dependencies:pracmarbibutilsRcppRcppArmadilloRdpack